This article presents a study of the explanatory power of SKYTRAX's airport rating system, using data from 423 airports for statistical analysis. The study utilizes ordinal regression and Maximum Likelihood Structural Equation Modeling (ML SEM) to propose and test several models. The study results show that only three service quality components based on SKYTRAX have significant explanatory power, i.e., terminal comfort, wayfinding signage, and airports' food and beverage outlets. The study findings have significant implications for airport management and key stakeholders. By prioritizing these service quality components, airport managers can improve operational efficiency and increase service quality, which can attract new investments. The study highlights the importance of addressing the vital elements of airport service quality, which can lead to time and cost savings in problem-solving processes and procedures. The findings also have implications for academia, providing a basis for further research on the importance of airport rating systems for customer satisfaction and service quality.
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